{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "generic-trader",
   "metadata": {},
   "outputs": [],
   "source": [
    "import mplfinance as mpl\n",
    "import pandas as pd\n",
    "import tushare as ts\n",
    "import numpy as np\n",
    "from scipy import stats\n",
    "from matplotlib import pyplot as plt\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "pro = ts.pro_api('0ba8feef618e5db7b1ebb65538fe51e4aef69fb3cbf709d44128f313')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "international-commitment",
   "metadata": {},
   "outputs": [],
   "source": [
    "columnname =['symbol','Date','Open','High','Low','Close','Pre_Close','Change','Pct_chg', 'Volume','Amount']\n",
    "def getKlines(symbol,start_date='20200101', end_date='20210423'):\n",
    "    dfday = pro.daily(ts_code=symbol, start_date=start_date, end_date=end_date)\n",
    "    dfday.columns=columnname\n",
    "    dfday.index = pd.to_datetime(dfday.Date)\n",
    "    dfday.drop(columns=['Date'], inplace=True)\n",
    "    dfday['Ret'] = dfday['Close'] / dfday['Pre_Close'] - 1\n",
    "    return dfday"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "verified-parks",
   "metadata": {},
   "outputs": [],
   "source": [
    "icbc = '601398.SH'\n",
    "pfyh = '600000.SH'\n",
    "zglt = '600050.SH'\n",
    "\n",
    "dfdayicbc = getKlines(icbc)\n",
    "dfdaypfyh = getKlines(pfyh)\n",
    "dfdayzglt = getKlines(zglt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "otherwise-battlefield",
   "metadata": {},
   "outputs": [],
   "source": [
    "byjc = '600004.SH' # 白云机场\n",
    "hxyh = '600015.SH' # 华夏银行\n",
    "zndl = '600023.SH' # 浙能电力\n",
    "fjgs = '600033.SH' #  福建高速\n",
    "sykj = '600183.SH' # 生益科技\n",
    "\n",
    "kline_byjc = getKlines(byjc)\n",
    "kline_hxyh = getKlines(hxyh)\n",
    "kline_zndl = getKlines(zndl)\n",
    "kline_fjgs = getKlines(fjgs)\n",
    "kline_sykj = getKlines(sykj)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "spectacular-church",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Ret</th>\n",
       "      <th>Ret</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-04-23</th>\n",
       "      <td>-0.008436</td>\n",
       "      <td>-0.003745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-22</th>\n",
       "      <td>-0.002295</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-21</th>\n",
       "      <td>-0.010598</td>\n",
       "      <td>-0.003731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-20</th>\n",
       "      <td>-0.010487</td>\n",
       "      <td>-0.011070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-19</th>\n",
       "      <td>0.034884</td>\n",
       "      <td>0.007435</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Ret       Ret\n",
       "Date                          \n",
       "2021-04-23 -0.008436 -0.003745\n",
       "2021-04-22 -0.002295  0.000000\n",
       "2021-04-21 -0.010598 -0.003731\n",
       "2021-04-20 -0.010487 -0.011070\n",
       "2021-04-19  0.034884  0.007435"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sh_return = pd.concat([kline_byjc.Ret, kline_fjgs.Ret], axis=1)\n",
    "sh_return.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "neutral-plaza",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "平均数 -8.870232563523986e-05 中位数 0.0 众数 0    0.0\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "df_return = pd.DataFrame()\n",
    "df_return= dfdayicbc['Return']\n",
    "print('平均数', df_return.mean(), '中位数',df_return.median(), '众数', df_return.mode())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "three-birmingham",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[df_return.quantile(i) for i in [0.25,0.75]] #百分位数\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "major-alexandria",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[-0.006340370156159625, 0.004065040650406582]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 离散度\n",
    "print('极差值',df_return.max() - df_return.min(),'平均绝对偏差', df_return.mad(),'方差', df_return.var(), '标准差', df_return.std())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "vietnamese-howard",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3    34\n",
       "4    32\n",
       "5    16\n",
       "1    10\n",
       "2     8\n",
       "dtype: int64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "randomNumber =np.random.choice([1,2,3,4,5],size=100,replace=True, p=[0.1,0.1,0.3,0.3,0.2])\n",
    "pd.Series(randomNumber).value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "finnish-bouquet",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '收益率序列的概率密度曲线图')"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "density = stats.kde.gaussian_kde(df_return)\n",
    "bins = np.arange(-0.1,0.1,0.01)\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "\n",
    "plt.subplot(211)\n",
    "plt.plot(bins, density(bins))\n",
    "plt.title('收益率序列的概率密度曲线图')         "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "fitting-batman",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '累积分布函数图')"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXMAAACQCAYAAAD6HYsKAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAXmklEQVR4nO3deXxb1Zn/8c8j2Y7tbM4esjghFAJNqENwwg6BAmXoCkPZmRbaYUqn/H7t0ClMW9oO7XSmG9NOO8BkSgd+lLAVCoW2v5YtJZRikkAS1rCExFkgC4njLHZsS8/8ca8TxZFjRZJ1Zfn7fr300r3nnnv1+Fp6dHTO1ZG5OyIi0rfFog5ARERyp2QuIlIClMxFREqAkrmISAlQMhcRKQFK5iIiJUDJXIqemU0ws8vNzA5gn8PD+ylmdloG9eNm9iczm9RDvQGZxmFmXzCzSjN7wsyONLN/NLMhZnaLmZ2c2V8ikpmyqAOQ/sXMjgd+A7wUFk0GdgHvhOszgOMBB34GdCbXecCZZvbDsD5AHHjC3a/p8hhnAz8ws+nhceaa2Qfcfed+QjsLqHb3VfuJvQZ4GthlZl2/oHEEUA3Uu/visKwM+DrQAQwELnT3H5jZB4Hvpzn+8+E+bfuJc6K7j9nPdumnlMyl0NozqNMGvA18GjiEIAl+w8xmA0vd/VIAMzsduCx1RzOLAd8CvurBN+LeNrPfAj8GrkypdxxwF7CdINkeBrxjZktSD0fwGvl7d5/v7k3A9JRjjAsf/0TgEeB2d3873FYJrCN4MxkGzAGeClvkg9x9RVhvgLt3vjm1A+e6+8rwTe964Ozw78DMyoCVGZw/6YfUzSKFZsDT7j7H3ecAtwE/SFlfEtYx9rTWMbN4WNZV1xbyl4Gt7v5QStnXgOPN7EedXSTu/hd3n+zu04HvAX9290OARcDx7j7D3evcfZq7z0+JY7CZ3W9m44EzCT45nBdu3prymBXAycAlQD3w/jD+q4CYmS0ysw3AK2Y2ONynPXyMocB/A6OAhWa23cz+b1inI805EFEyl4JrAWrMbH6YzP4PcGm43pm824FPAUsJWs/nEST5j+3vwGH3xRdJaYEDuPt24DTgdILW8dSUfSYD307Z51T2fYPorHs7MAu4CfgvoBXYADxIkKhPNrPbUv7OFcBaYAHQBGwh+KTxM3evB54g+NSxLeVh4sDDwGbgj8ANYb2f7u9vF1Eyl4Jy9xcJEuEOgi6OHwK/JWhxPgZc7O4r3f1Wd58GLAR+TZBkH05zyDgELWZgLkHXxF/MbKuZNZvZGjNbQ9A9cRPwGpAI9zkofOxJwK/DLpYJwLNmtsTMNpvZR1IeqxxIuvvjwCdTyr/o7t8M/57OrssJwCbgKwQJ/ZtAY3iMo8M6tcBbXf6eBHA1cCFwEXA38O/unuz2pIqgZC7R2A7cDjxKMPC4g6A7YhAwu7OSmc0ETiAYEH2QINFNDxPtEoI3gnUAYev2iPBNYCzBG8b17j7B3ScATwGvuvvfuvubZlZHMJh5C7A+7FaZAawGjgmXf8OewVYIW+xmNgX4PUFrfBTwiJkdyt5dIMOBLxG0ro8neCP6m3D5oHAwdbC7b+5ybiYCNwL/j2DQ9zzg78zsDeCDGZ5f6YeUzKWgzOwKgiR3G0HrsxL4W+AhgsT4DTP7pZlVA7cSXPWxILxtBK4BPgTMBD7v7td2HtvdU68COQVoSFkfD6xJWd9KMEjaU/eFd1k+Gfgd8NWwbCNwHcGnivEpsSwmGBhtIhhc/T6w3N1bgAfCv/eJNI+3miDpnw4sB75L8EZ0NDC/h1ilH9PVLFJozwPrgbMJLj08B9hJkODq2NPtcQZB90oDcLC7/5OZjQV+Ee7bCvy3mV3r7o+kPoCZfRyIu/uzKcUHEXR3AODuK9lzZcg+jRozGwCMYO/WtgEvEnyaGAdcCvzR3e83swqCTxypxgGLgf8PHA58Iyx/APg3gr76vR42jG2tmV0L/DVwP/And28Or2bJ+Fp76V/UMpdCqyBoydYQDAgmCFq8FcDlBIOeM9z9IXe/gfA5amZVwL3Al939ZXffStBvPTfs4iCs93GCvvGrwvUh4WV+rSmXAHY1IGW5jKBf+zWCPu1lKdsM2BK+ETjBm80tAO5+F5A6kAnwJnBPePyvAdPM7Nyw7Mth7Mek1C/vXHD37wEfIXiDmJpSRw0wSUtPDCmY8LLAzwLfcvfHzex84FrgPHd/EzjXzE4EpqXsNoggGZ4P/Nrd7+vc4O6vhC3YicAbZvZjgu6Jj6V8cedzBN0WX6V741KWywleF4e5e9dr4tcCP+7yBdAvpKwPAl4I/9Zqgk8ZSwiuHX/XzC4BPk9wBcvrZrYY+LaZfSL8QlMZ8Dsz2+dLQ2bW2arXa1bSMv3SkEQl/GJNrIdvZh7I8QYTtMAz+WJS0TGzEUCTuyeijkX6HiVzEZESoD5zEZESoGQuIlICIhlMGTlypE+ePDmKhxYR6bMWL168yd1HpdsWSTKfPHkyixYtiuKhRUT6LDPrdopmdbOIiJSAjJK5mY0xswXhcrmZPWJmz4RfzU5bJiLSn7k7iaTTnkiyqyNBS1uCHbs6aOvonTnTeuxmMbNhBJMiDQyLrgYWufu3zOwBM7uPYG6Nvcq6TOspIgXi7mzb1cHWne007WynqaUtvG+nuaWdZLL7y5F7ulC565XM3mWPfbfve4COZHBrTyTpSDgdySTtCacjkaQ96SRSy1K2dSSdjkRul1I7wflxh6QH0SfDdXcn6fuuO+F9yn5Jh2TS9yzvtS0o6853PjGdS4/d768TZiWTPvMEcAHBxEAQ/GLKdeHyMwQT76crezL1IGZ2JeGc0bW1tTmELNL/uDuNm3fy0tpm3tuxi6ad7WzZ2RYk7JZ2mna20dTSvns9sb9sErHyuBGPGeWxGGVxoyweozwW3JfFjbKYURaLUR5uK4sZ1RVlu7flOj1NzCBmhqXcm9mecvas76kT1gPiMdu9X9yMWGzPsWIp9WMpZcG6EY/BUbU1eTiL++oxmbt7M+EfFxrIngmLmoEx3ZR1Pc5cgvmmqa+vL95nmkgRaG1PsGzNVp5v3MLiVVt4oXELm7bv/S3/QQPKqKkuD25VFRxUU0VN1Z71YFt4X1XO0OpyhlSWhwmxez39XnXXrV2r97S/9I5srmbZDlQRTCE6KFxPVyYiGXB31m1tZfGqLTwfJu6X1zXTEbauDx45kFMOG83MSTXUTahh7NBKhlaVUx7X9QuyRzbJvHOe5l8RTFn6bDdlIpLGro4EL61t5oWw1f184xbWNwcTOlaVx6mbOJQrT57CzNphHFVbw4hBA3o4okh2yfx2gpndTiL4kdoGgi6WrmUikmLFxu1c98CLLGlsoi0RXNEwYVgVx04ZwczaYRw9aRiHjx1MmVrckoWMk3n4y+m4+yozO4OgJf6NcIa3dGUiElrX1MKlP2+gtSPJp0+YzMzaYcycVMPowZVRhyYlIqtvgLr7OoIfCthvmYjApu27uPTWBra1dnDXlccyffzQqEOSEqSJ7kV6UXNrO5/6xXOsa2rhjs8co0QuvUadcyK9pKUtwWdvW8Tyd7dx86VHM2vy8KhDkhKmlrlIL2jrSPL5OxezcNVm/uPCozh16uioQ5ISp5a5SJ4lks419y3lyeUb+e45R/LRunE97ySSIyVzkTxyd65/6CUeXrqO6/7qcC6arakrpDCUzEXy6Pt/WM68hkaumnMInzvlkKjDkX5EyVwkT27501vcPP8tLjmmlq98aGrU4Ug/o2QukgfzGhr5t9+/xkfrxnHDx6drsikpOCVzkRw9vHQdX3vwRU6dOoobz68j3sOshCK9QclcJAdPLt/Al+5ZwqxJw7npkqM1k6FERs88kSw99/ZmrvrlYqaOHczPP11PVUU86pCkH1MyF8nCS2u38pnbFjJuaBW3XzGbIZXlUYck/ZySucgBemvjdj71i+cYXFnGHZ89hpGab1yKgJK5yAFY29TCZT8Ppuv/5WePYXxNVcQRiQSUzEUytLWlnct+Hkxle/sVs5kyalDUIYnspom2RDI0r6GRFZt2cLfmJJcipJa5SAaSSefuhY3MPng4x04ZEXU4IvtQMhfJwDNvvceq93ZyyTGaOEuKk5K5SAbmPbeKYdXlnDV9bNShiKSlZC7Sgw3bWvnjy+s57+gJDCjTF4OkOCmZi/TgvkVr6Ei65iaXoqZkLrIfnQOfx00ZoUsRpagpmYvsx4I3N7F6cwsXa+BTipySuch+zGtYxfCBFZw5bUzUoYjsl5K5SDfWN7fy2Ksb+KQGPqUPUDIX6ca9C1eT0MCn9BFK5iJpJJLO3QtXc8L7RjB55MCowxHpkZK5SBpPvb6RtU0tXDx7UtShiGREyVwkjTsbGhk5qIIz3q+BT+kblMxFunhnawtPvLaeT9ZPpKJMLxHpG/RMFeninoWrSTpcNEsDn9J3KJmLpOhIJLln4WpOOnQktSOqow5HJGNK5iIp5i/fyDtbWzXVrfQ5SuYiKeY918iowQP44BEa+JS+RclcJLS2qYX5yzdwQf1EyuN6aUjfcsC/AWpmZcCK8AZwNXAecDbQ4O5fyF94IoVzz3ONOHDh7IlRhyJywLJpfnwAuMvd57j7HGAAcCIwG1hjZqfnMT6RguhIJLln0WpOOWwUE4Zp4FP6nmyS+bHAOWb2tJndCZwG3O/uDjwGnJTPAEUK4fHXNrC+eRcXax4W6aOySeYLgVPc/USgCagC1obbmoG0I0dmdqWZLTKzRRs3bswmVpFeM6+hkbFDKjnt8NFRhyKSlWyS+TJ3fydcfg3YTpDQAQZ1d0x3n+vu9e5eP2rUqCweVqR3rN68k6fe2Mj5syZSpoFP6aOyeebeYWZ1ZhYHzgEGEvSZA9QBK/MUm0hB3LNwNQZcOEsDn9J3HfDVLMANwDzAgN8A3wEWmNlPgLPCm0if0B4OfJ46dTTjaqp63kGkSB1wMnf3lwiuaNktvILlw8BP3P3tPMUm0usef3U9G7ft0m98Sp+XTct8H+7eAvwqH8cSKaQ7GxoZN7SSOVM18Cl9m0Z7pN9qfG8nC97YxAWzaonHLOpwRHKiZC791l0LG4nHjAs08CklQMlc+qW2jiT3LVrNaYePZuzQyqjDEcmZkrn0S4++sp5N29s08CklQ8lc+qV5z61ifE0VJx+qL7BJaVAyl35n5aYd/PnN97ho9kQNfErJUDKXfueu54KBz/PrNfAppUPJXPqVXR0J7lu8htOPGM3oIRr4lNKhZC79yh9eXs/mHW1cfMykqEMRySslc+lX5jWsYuLwKk5638ioQxHJKyVz6TdeX7+NZ1ds5sJZtcQ08CklRslc+oWORJKv/GoZNdXlmupWSlJeJtoSKXa3/Oktlqxu4qcXHcWIQQOiDkck79Qyl5L30tqt/PixN/ho3Tg+Wjcu6nBEeoWSuZS01vYE19y7lOEDK/j2x6dFHY5Ir1E3i5S0f3/0dZav38b/XD6LmuqKqMMR6TVqmUvJWrhyM3MXrOCi2bWcqh+fkBKnZC4laceuDq65dykTh1Xz9Q8fEXU4Ir1O3SxSkv7ld6+yestO7v274xg4QE9zKX1qmUvJeXL5BuY1NHLlSVOYNXl41OGIFISSuZSUpp1tXPurZUwdM5gvnXFY1OGIFIw+f0pJuf6hl9m8o41ffHoWleXxqMMRKRi1zKVkPLx0HQ8vXccXTz+U6eOHRh2OSEEpmUtJWN/cyvUPvcSMiTV87pRDog5HpOCUzKXPc3euvX8Zre0JfnR+HWVxPa2l/9GzXvq8uxeuZv7yjVx31uEcMmpQ1OGIRELJXPq0xvd28u1HXuGE943gb46bHHU4IpFRMpc+K5F0rrlvCXEzfnBenX5wQvo1XZoofdatT69g4cot/OiTdYyrqYo6HJFIqWUufdLyd7fxwz+8zoemjeHcmeOjDkckckrm0ue0dST5h3uXMLiyjO+ecyRm6l4RUTeL9Dk/feINXl7XzNzLjtZPwImE1DKXPuWFxi3855Nv8tczJ3DmtLFRhyNSNNQylz5hV0eCV9Y1c829Sxk7pJJvfuz9UYckUlSUzKXouDtrtrTwfOMWlqxu4oXGJl5Z10xbIkl53Lj98tkMqSyPOkyRoqJkLpHb1trOsjVbw8QdJPBN29sAqCyP8YEJNVx+wmSOqq1h5qRhjB5cGXHEIsUnb8nczG4FjgB+5+7fyddxpbQkks4bG7axpDFocS9Z3cTrG7bhHmw/ZNRATjlsNEfV1jBjYg2Hjx2suVZEMpCXZG5m5wJxdz/ezG4ys0Pd/Y18HDvVxm27WN/cmu/DRsIdHN+9DIRrQTdD53rnNlLqdiSdRNLD+yQdidT1lPLO9cTe5blIenBpYFsiSVtHkl0dyZT1xF7bdm9PWd/W2kFLewKAmupyZkys4ewjD2JGbQ0zJtQwtFrdJyLZyFfLfA5wb7j8BHAikPdk/sDza/jX37+W78PKAYoZVJTFqIjHqCiLM6AslrK+Z7m6umz3+oBw28ABZUwbN4SjaocxeUS1rhEXyZN8JfOBwNpwuRl4X9cKZnYlcCVAbW1tVg9y5rSxHDxyYJYhFo/OBGZAZy7bfc/uhZQ6llpEWdwoi8WIx4yymAX38c7l2J6y3fcx4uH2mBm55E8DdXuIFKF8JfPtQOfkGINIc/26u88F5gLU19d71+2ZOHjkwJJI5iIi+ZavJtZigq4VgDpgZZ6OKyIiGchXy/xBYIGZjQP+Cjg2T8cVEZEMmHtWPR77HshsGHAG8JS7v9tD3Y3AqiwfaiSwKct9C0Hx5Ubx5a7YY1R82Zvk7qPSbchbMi8UM1vk7vVRx9EdxZcbxZe7Yo9R8fUOXZYgIlIClMxFREpAX0zmc6MOoAeKLzeKL3fFHqPi6wV9rs9cRET21Rdb5iIi0oWSuYhICSj4fOZm9th+HneNu19ayHi6Uny5Kfb40slk+uZ0dTItiyI+MxsK3E3wv9gOXAAkgRXhDeBqd38xovjK0sViZv8MnA00uPsXco0th/iuIjhnADVAA/D36WLOR4x54e4FvQGn72fbJ8L7W4FngK/3cKwxwIKU9XLgkXDfK7orK2B8e9UDrgLmh7clwH8RvNgaU8qPjDC+tLEA/wwsBH4W8fkbCvweeBT4NVBxoOcvzWOcC9wWLt8EHJpJnUzL8vB6yTa+zwNnhGU3Ax8DZgLfyzWmPMW3TyxAPfA4wXxu1+3vudTb8XXZ/lPg6N44f/m8FV03S+rc6MA4Mzu0m3rDgNsJZmzsdDWwKNz3I2Y2uJuyQsS3Tz13v9nd57j7HGABwaj5B4C7Oss9x3f6XOJLF4uZ1RPMuzMbWGNmp0cY3yXAje5+BvAucFa6mA8wpDnsO31zJnUyLctVVvG5+03u/mhYNgrYQDDNxjlm9rSZ3Rm2jiOJr5tYTgbu9yCDPgacFGF8AJjZeGCMuy/uJuaiUXTJnMxfEAmCj0HN3ez7DME7fbqyQsTXbb1efoLkEl8hXmBZx9dLCarr9M1jMqyTaVmuso0PADM7Dhjm7s8SfLo6xd1PBJoIujOiii9dLEV3/gi6Vm4Ol3vj/OVNMSbzjP6h7t7s7lsz2DffT5BMjxfVEySX+ArxAsv5/OU5QfU4fXM3dTIty1W28WFmwwm6CK4Ity1z93fC5dcIujuiii9dLMV2/mLAqe7+ZLitN85f3hRjMs/lH1qIF1imx4vqCZJLfIV4geV6/vKdoDKZvjldnUzLcpVVfGZWQfDJ5p/cvXNSuzvMrM7M4sA5wNKo4usmlqI5f+HySQQDn5164/zlTTEm81z+oYV4gWV6vKieILnEV4gXWNbx9VKCehC4zMxuBM4HXjazrlc8dK3z2wMoy1W28X2GYNDua2Y238wuAG4A7iAYfP+Luz8WYXzpYnkaOMrMfkIwAHpXhPEBfAh4KqVeb5y//Cn0iCs9XO0ADCF4Qd4IvEpwBcP7ge90s8/8lOVJwMvATwg+fsfTlRUivnT1wvLvAuem1JsOLANeBP6lUOevm3r7xELwhv/n8PwtBw6OML6rgC3suXLlggM9f93ENYzgRTz2QOpkWpaH10xW8RXqls/4CD6NnQdMKcb4ivlW8K/zm9l9BINX6Sxx9y8eyNzoaY4/jqBF9wcP+9TTlRUivlz+jmKKz8yqgA8Dz7v7iu7qRRWfiGhuFhGRklCMfeYiInKAlMxFREqAkrmISAlQMhcRKQFK5iIiJeB/ASDNnpAodkpfAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(212)\n",
    "plt.plot(bins, density(bins).cumsum())\n",
    "plt.title('累积分布函数图')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "authentic-feature",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_return.describe()\n",
    "p = len(df_return[df_return>0]) / len(df_return)\n",
    "p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "extraordinary-letters",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.13435777731421233"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 单个交易日涨跌为伯努利实验， 多日涨跌为二项分布\n",
    "prob = stats.binom.pmf(6,10,p) # 10个交易日有6个上涨的概率\n",
    "prob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "english-captain",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.00401646, 0.02957171, 0.09797661, 0.19236432, 0.24785403,\n",
       "       0.21898312, 0.13435778, 0.05652729, 0.01560712, 0.00255355])"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dd = stats.binom.pmf(np.arange(0,10,1),10, p)\n",
    "dd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "varying-wealth",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.579544528625975e-10"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.binom.cdf(20,100,0.5) # 100次试验， 正面向上的次数小于等于20次的概率"
   ]
  },
  {
   "cell_type": "raw",
   "id": "verified-functionality",
   "metadata": {},
   "source": [
    "#stats.norm.pdf(Norm) # 密度值\n",
    "#stats.norm.cdf(Norm) # 累计密度值\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "victorian-halifax",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'zglt')"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(dfdaypfyh.Return,dfdayzglt.Return)\n",
    "plt.title('散点图')\n",
    "plt.xlabel('pfyh')\n",
    "plt.ylabel('zglt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "specific-intelligence",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5058190956873878"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfdaypfyh.Return.corr(dfdayzglt.Return)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "departmental-biodiversity",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'Open'}>,\n",
       "        <AxesSubplot:title={'center':'High'}>,\n",
       "        <AxesSubplot:title={'center':'Low'}>],\n",
       "       [<AxesSubplot:title={'center':'Close'}>,\n",
       "        <AxesSubplot:title={'center':'Pre_Close'}>,\n",
       "        <AxesSubplot:title={'center':'Change'}>],\n",
       "       [<AxesSubplot:title={'center':'Pct_chg'}>,\n",
       "        <AxesSubplot:title={'center':'Volume'}>,\n",
       "        <AxesSubplot:title={'center':'Amount'}>],\n",
       "       [<AxesSubplot:title={'center':'Return'}>, <AxesSubplot:>,\n",
       "        <AxesSubplot:>]], dtype=object)"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dfdaypfyh.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "saved-feelings",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LzNMHLajzAuhm4HA1fQR4w8KFmbkP2Ffj9k6IiIOZ2R3H2OPSxszQztxmbk4bc7cx8yB1njOfBzZV0xM1jy1JWkadhTsLnFNNbwcO1Ti2JGkZdZ5m+SJwICLOAN4BnF3j2CsZy+mbMWtjZmhnbjM3p42525j5JWq7AAoQEacC5wP3ZebTtQ0sSVpWrWUuSVofXqSUpAJsiM9miYh7WDrLk5n5B03mGYaZ11dEfBr4ReCuzLxx2HWGnbdRMkfEFmCa/s9tHrgM+D/g8eoGcHVmzm2w3CcPyhgRNwDvBB7MzPdssMxX0n98AV4NPAj8yaDvY1y51yQz1/0GnLfMst+u/v00cD9w3QpjvWg94Epgprp9G/gr+r8Y/7lg/uQGyzwwH3AD8C3gLzfg47wF+DLwVeDvgVPqeJyX2PYlwGer6VuAM4dZZ9h5Y9rHR818FXB+NW8v8JvALwN/MY6cNeZ+SUagC/wTEMDu5fbH9ci8aPkngB1NPtZrvbXiNMvCjwoAzoiIM4ddLzP3ZmYvM3vAAfpXrs8Cbj8+P8fwP+1aMg/KFxFd+i/9fDPwZESct8EyXw58NDPPB54GLhz0fdQUtQfcUU1/jRdeErvSOsPOG4dhtvOSdTLzlsz8ajXvdOB79F8pdnFEfD0iPlcdBY/LSzINuc6gjL8G/F322/Ie4NwNlhmAiNgKdDJzlmYf6zVpRZkz/C/ckuutww9oLZnX6xdh5MwNl87idxt3hlxn2HnjMGpmACLircCpmfkA/Wdnb8/Mc4D/pX/aYlxGzT0oYysea/qnVvZW000+1mvSljIfdifYSD+gtWRer1+ENT/ODZXOMO82HrTOsPPGYdTMRMRr6D/tf1e17OHMfKqafpT+aY1xGTX3oIxteKxfBkxl5r3VsiYf6zVpS5kPuxNspB/QWjKv1y/CWh/npkpnmHcbD1pn2HnjMFLmiDiF/rOgazLziWrZbRGxPSJOAi4GHhpT5oGZhlxnUMYN/VhX0+fSv/B5XJOP9Zps2PM/ixx/4B+g/8Av9YmLS6036Ad0E/AI/R/QhzZY5kH5fgT8Lv1XNozrF2HkzMuUzjge5y/y4ncb/15E3JiZ1y2zztlADjlvHEbN/G76F+KujYhr6T+7/CDwefoXEu/MzHvGlHktuR9enLE6qPrziLiZ/jWVCzdYZoALgPsWrNfkY702630Ftn8KePlXWQCvov8/4keB79B/5cSbgBsXrfuS9ar5HwIuWbDeL9Hf2eaAmzZa5kH56B/9fgO4mX7J/vwGy3wl8H1eeOXKZXU8zsvkPZX+f24/u5p1hp03pv18pMzrfaszN/1ndJcCr29L5rbcNsQ7QCPiC/Qvmg3y7cx877AfFdDURwqsR+aI2ARcBPxzZj6+1HobKbOkZmyIMpckrU1bLoBKkpZhmUtSASxzSSqAZS5JBbDMJakA/w9dIWljMtJsywAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dfdaypfyh.Return.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "aging-laundry",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fda5b0ab6a0>]"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sigma=dfdaypfyh.Return.std()\n",
    "mu = dfdaypfyh.Return.mean()\n",
    "dfdaypfyh.Return.hist()\n",
    "\n",
    "plt.plot(np.arange(-0.075,0.075, 0.002),\\\n",
    "         stats.norm.pdf(np.arange(-0.075,0.075, 0.002),\n",
    "         mu, sigma))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "dental-schema",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.0018578027622715978, 0.001318067539398558)"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.t.interval(0.95,len(dfdaypfyh)-1,\\\n",
    "                mu, stats.sem(dfdaypfyh.Return))  # 置信度为0.95的置信区间"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "focused-milton",
   "metadata": {},
   "outputs": [],
   "source": [
    "kline_fjgs.Ret.name = 'fjgs'\n",
    "kline_byjc.Ret.name = 'byjc'\n",
    "kline_hxyh.Ret.name = 'hxyh'\n",
    "kline_zndl.Ret.name = 'zndl'\n",
    "kline_sykj.Ret.name = 'sykj'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "written-worth",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>byjc</th>\n",
       "      <th>hxyh</th>\n",
       "      <th>zndl</th>\n",
       "      <th>fjgs</th>\n",
       "      <th>sykj</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-04-23</th>\n",
       "      <td>-0.008436</td>\n",
       "      <td>-0.001600</td>\n",
       "      <td>-0.008108</td>\n",
       "      <td>-0.003745</td>\n",
       "      <td>-0.012982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-22</th>\n",
       "      <td>-0.002295</td>\n",
       "      <td>-0.004777</td>\n",
       "      <td>-0.002695</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.004845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-21</th>\n",
       "      <td>-0.010598</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002703</td>\n",
       "      <td>-0.003731</td>\n",
       "      <td>-0.003219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-20</th>\n",
       "      <td>-0.010487</td>\n",
       "      <td>-0.004754</td>\n",
       "      <td>-0.005376</td>\n",
       "      <td>-0.011070</td>\n",
       "      <td>0.026012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-19</th>\n",
       "      <td>0.034884</td>\n",
       "      <td>0.004777</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007435</td>\n",
       "      <td>0.014238</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                byjc      hxyh      zndl      fjgs      sykj\n",
       "Date                                                        \n",
       "2021-04-23 -0.008436 -0.001600 -0.008108 -0.003745 -0.012982\n",
       "2021-04-22 -0.002295 -0.004777 -0.002695  0.000000 -0.004845\n",
       "2021-04-21 -0.010598  0.000000  0.002703 -0.003731 -0.003219\n",
       "2021-04-20 -0.010487 -0.004754 -0.005376 -0.011070  0.026012\n",
       "2021-04-19  0.034884  0.004777  0.000000  0.007435  0.014238"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sh_return = pd.concat([kline_byjc.Ret, kline_hxyh.Ret, kline_zndl.Ret, kline_fjgs.Ret, kline_sykj.Ret], axis=1)\n",
    "sh_return.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "taken-cholesterol",
   "metadata": {},
   "outputs": [],
   "source": [
    "cumreturn = (1+sh_return).cumprod()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "approximate-recovery",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'cumulative return of')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sh_return.plot()\n",
    "plt.title('Daily Return of 5 Stocks')\n",
    "plt.legend(loc='lower center', bbox_to_anchor=(0.5,-0.3),\n",
    "          ncol=5, fancybox=True, shadow=True)\n",
    "cumreturn.plot()\n",
    "plt.title('cumulative return of 5 stocks')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "micro-meaning",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>byjc</th>\n",
       "      <th>hxyh</th>\n",
       "      <th>zndl</th>\n",
       "      <th>fjgs</th>\n",
       "      <th>sykj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>byjc</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.348261</td>\n",
       "      <td>0.329320</td>\n",
       "      <td>0.411092</td>\n",
       "      <td>0.267431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hxyh</th>\n",
       "      <td>0.348261</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.530966</td>\n",
       "      <td>0.594221</td>\n",
       "      <td>0.224018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zndl</th>\n",
       "      <td>0.329320</td>\n",
       "      <td>0.530966</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.642521</td>\n",
       "      <td>0.267900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fjgs</th>\n",
       "      <td>0.411092</td>\n",
       "      <td>0.594221</td>\n",
       "      <td>0.642521</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.317581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sykj</th>\n",
       "      <td>0.267431</td>\n",
       "      <td>0.224018</td>\n",
       "      <td>0.267900</td>\n",
       "      <td>0.317581</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          byjc      hxyh      zndl      fjgs      sykj\n",
       "byjc  1.000000  0.348261  0.329320  0.411092  0.267431\n",
       "hxyh  0.348261  1.000000  0.530966  0.594221  0.224018\n",
       "zndl  0.329320  0.530966  1.000000  0.642521  0.267900\n",
       "fjgs  0.411092  0.594221  0.642521  1.000000  0.317581\n",
       "sykj  0.267431  0.224018  0.267900  0.317581  1.000000"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sh_return.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ideal-jacket",
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy import linalg\n",
    "\n",
    "class MeanVariance:\n",
    "    def __init__(self, returns):\n",
    "        self.returns = returns\n",
    "    "
   ]
  }
 ],
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